Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks. * Integrate pre-trained models or build ...
AI Safety Engineer (Red Teaming) - Remote
Indianapolis, IN · Remote
$50 - $90/hr
Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work
AI Safety Engineer (Red Teaming) - Remote
Indianapolis, IN · Remote
$50 - $90/hr
Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work
This role involves assisting with AI model evaluation, data preparation, application integration, and documentation while adhering to Hoosier Energy's AI usage policies and governance standards. Key ...
This role involves assisting with AI model evaluation, data preparation, application integration, and documentation while adhering to Hoosier Energy's AI usage policies and governance standards. Key ...
Senior AI Architect
Carmel, IN · On-site
Define enterprise-grade architecture for AI-enabled solutions, including business process fit, data needs, AI/model approach, system interactions, integration patterns, security, human oversight ...
Senior AI Architect
Carmel, IN · On-site
Define enterprise-grade architecture for AI-enabled solutions, including business process fit, data needs, AI/model approach, system interactions, integration patterns, security, human oversight ...
Senior AI Architect
Carmel, IN · On-site
Define enterprise-grade architecture for AI-enabled solutions, including business process fit, data needs, AI/model approach, system interactions, integration patterns, security, human oversight ...
Senior AI Architect
Carmel, IN · On-site
Define enterprise-grade architecture for AI-enabled solutions, including business process fit, data needs, AI/model approach, system interactions, integration patterns, security, human oversight ...
This role involves assisting with AI model evaluation, data preparation, application integration, and documentation while adhering to Hoosier Energy's AI usage policies and governance standards. Key ...
This role involves assisting with AI model evaluation, data preparation, application integration, and documentation while adhering to Hoosier Energy's AI usage policies and governance standards. Key ...
Senior AI Architect
Carmel, IN · On-site
... AI/model approach, system interactions, integration patterns, security, human oversight, monitoring, and operational support • Create solution artifacts such as target-state workflows, context ...
Senior AI Architect
Carmel, IN · On-site
... AI/model approach, system interactions, integration patterns, security, human oversight, monitoring, and operational support • Create solution artifacts such as target-state workflows, context ...
Build and maintain scalable model pipelines and architectures supporting cross-domain and enterprise-level data integration. * Apply AI/ML techniques (e.g., predictive modeling, clustering, natural ...
Build and maintain scalable model pipelines and architectures supporting cross-domain and enterprise-level data integration. * Apply AI/ML techniques (e.g., predictive modeling, clustering, natural ...
Gen AI Engineer
Indianapolis, IN · Hybrid
The Gen AI Engineer is responsible for analyzing and modeling organizational data for the Artificial Intelligence (AI) function to draw business insights, which can be used to make business decisions.
Gen AI Engineer
Indianapolis, IN · Hybrid
The Gen AI Engineer is responsible for analyzing and modeling organizational data for the Artificial Intelligence (AI) function to draw business insights, which can be used to make business decisions.
Legal AI Trainer - Remote
Indianapolis, IN · Remote
$80 - $105/hr
In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...
Legal AI Trainer - Remote
Indianapolis, IN · Remote
$80 - $105/hr
In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...
Legal AI Trainer - Remote
Fort Wayne, IN · Remote
$80 - $105/hr
In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...
Legal AI Trainer - Remote
Fort Wayne, IN · Remote
$80 - $105/hr
In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...
Gen AI Engineer
Indianapolis, IN · Hybrid
The Gen AI Engineer is responsible for analyzing and modeling organizational data for the Artificial Intelligence (AI) function to draw business insights, which can be used to make business decisions.
Gen AI Engineer
Indianapolis, IN · Hybrid
The Gen AI Engineer is responsible for analyzing and modeling organizational data for the Artificial Intelligence (AI) function to draw business insights, which can be used to make business decisions.
Staff Vice President (VP) AI Tech - Data Science
Indianapolis, IN · On-site
$206K - $370K/yr
Deploy AI models to production, and when required, integrating with organizations core systems including but not limited to: commercial claims, membership, provider, and product systems.
Staff Vice President (VP) AI Tech - Data Science
Indianapolis, IN · On-site
$206K - $370K/yr
Deploy AI models to production, and when required, integrating with organizations core systems including but not limited to: commercial claims, membership, provider, and product systems.
Staff Vice President (VP) AI Tech - Data Science
Indianapolis, IN · On-site
$206K - $370K/yr
Deploy AI models to production, and when required, integrating with organizations core systems including but not limited to: commercial claims, membership, provider, and product systems.
Staff Vice President (VP) AI Tech - Data Science
Indianapolis, IN · On-site
$206K - $370K/yr
Deploy AI models to production, and when required, integrating with organizations core systems including but not limited to: commercial claims, membership, provider, and product systems.
Ai Model information
What job makes AI models?
Data scientists, machine learning engineers, and AI researchers are common jobs that develop and build AI models. These roles involve designing algorithms, training models using large datasets, and utilizing tools like Python, TensorFlow, or PyTorch. Strong programming skills and knowledge of statistics are essential for creating effective AI models.
How to become an AI model?
To become an AI model developer, you should gain a strong foundation in programming languages like Python, study machine learning and deep learning concepts, and work with frameworks such as TensorFlow or PyTorch. Building a portfolio of projects and obtaining relevant certifications can also enhance your skills and employability in this field.
What is the difference between Ai Model vs Data Scientist?
| Aspect | Ai Model | Data Scientist |
|---|---|---|
| Required Credentials | Knowledge of machine learning, programming skills, sometimes certifications in AI/ML | Degree in data science, statistics, computer science; certifications beneficial |
| Work Environment | Focus on developing, training, and deploying AI models | Data analysis, interpretation, and visualization; often collaborates with AI teams |
| Industry Usage | Used in AI development, automation, and predictive modeling | Applied across industries for insights, reporting, and decision-making |
While both roles involve working with data and algorithms, an Ai Model primarily focuses on creating and refining AI systems, whereas a Data Scientist analyzes data to generate insights and supports AI development. The roles often overlap but serve distinct functions within the data and AI ecosystem.
How much do AI models get paid?
AI model developers and researchers typically earn between $80,000 and $150,000 annually, depending on experience, location, and the complexity of the models they work on. Senior roles or those with specialized skills in machine learning and deep learning can earn higher salaries, often exceeding $200,000. Compensation may also include bonuses, stock options, and benefits based on the employer and industry sector.
What are some common challenges faced by professionals working as AI Model developers, and how can they address them?
Professionals working as AI Model developers often encounter challenges such as managing large and complex datasets, ensuring model accuracy, and addressing issues of bias in algorithms. They may also need to balance the trade-off between model performance and interpretability, especially when deploying models in production environments. To overcome these challenges, AI Model developers typically collaborate closely with data engineers, domain experts, and other stakeholders, regularly validate their models, and stay updated with the latest advancements in the field to adopt best practices.
What are AI models?
AI models are computer programs designed to simulate human intelligence by learning patterns from data and making predictions or decisions based on that learning. These models can perform a variety of tasks, such as recognizing speech, translating languages, analyzing images, and generating text. AI models are created using machine learning algorithms and are trained on large datasets to improve their accuracy and performance. Popular examples include neural networks, decision trees, and support vector machines. The effectiveness of an AI model depends on the quality of the data, the chosen algorithm, and the training process.
What are the key skills and qualifications needed to thrive as an AI Model, and why are they important?
To excel as an AI Model Developer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and typically a degree in computer science, data science, or a related field. Familiarity with ML frameworks like TensorFlow or PyTorch, cloud platforms, and relevant certifications such as TensorFlow Developer or AWS Machine Learning Specialty are valuable. Critical thinking, continuous learning, and effective collaboration with interdisciplinary teams are key soft skills for success. These competencies enable the creation of accurate, reliable AI models that can effectively solve complex real-world problems.
What is a $900000 AI job?
A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI architect, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, extensive experience, and may be found in large tech companies or specialized AI firms, with compensation reflecting expertise and impact.
What are popular job titles related to Ai Model jobs in Indiana? For Ai Model jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Ai Model jobs in Indiana look for? The top searched job categories for Ai Model jobs in Indiana are:
What cities in Indiana are hiring for Ai Model jobs? Cities in Indiana with the most Ai Model job openings:
Other
Re-posted 22 days ago
Job description
About Us
Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.
Job Description
This is a remote position.
We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.
Key Responsibilities:
Generative AI Model Implementation:
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Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.
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Integrate pre-trained models or build custom models for specific use cases.
Automation Design and Development:
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Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.
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Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.
Data Management:
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Collect, preprocess, and analyze large datasets for training and validating AI models.
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Ensure data privacy and compliance with regulatory requirements during data handling.
System Integration:
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Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.
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Build and maintain pipelines for real-time AI inference and automation.
Monitoring and Optimization:
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Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.
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Optimize models and processes based on performance metrics and user feedback.
Research and Innovation:
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Stay updated with the latest advancements in Generative AI and automation technologies.
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Identify opportunities for implementing cutting-edge AI solutions to address business challenges.
Documentation and Collaboration:
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Document technical designs, workflows, and implementation strategies.
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Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.
Required Qualifications:
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Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
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Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.
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Proficiency in designing and deploying machine learning models, particularly in Generative AI.
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Experience with automation tools (e.g., RPA, workflow orchestration tools).
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Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).
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Solid understanding of data structures, algorithms, and software design principles.
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Strong analytical and problem-solving skills.
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Excellent communication and teamwork abilities.
Preferred Qualifications:
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Experience with NLP, image generation, or multimodal AI models.
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Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.
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Familiarity with prompt engineering and fine-tuning Generative AI models.
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Knowledge of MLOps practices for deploying and maintaining AI solutions.
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Previous experience in automation or workflow optimization projects.
Why Join Us?
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Work with cutting-edge Generative AI technologies.
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Collaborate with a team of forward-thinking innovators.
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Make a tangible impact on the future of automation and AI-driven processes.
If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.
About EnthuZiastic
Sourced by ZipRecruiter
Industry
E-learning
Company size
11 - 50 Employees
Headquarters location
San Jose, CA, US
Year founded
2020